We are looking for a Senior Data Engineer who would help in building secure, scalable, high-performance data platforms for our global SaaS products. What You’ll Do: Lead, mentor, and grow a high-performing data engineering team. Architect & deliver robust ETL/ELT pipelines and AWS-based data lakes. Drive on-time delivery with agile best practices. Optimize performance, cost, and security usingSnowflake, dbt, Python, SQL . Ensure data governance, quality, and documentation. What We’re Looking For: 12–15 yrs in Data Engineering/Architecture, 3+ yrs in leadership. Strong hands-on expertise withAWS (S3, Glue, Lambda, Redshift, EMR) , Snowflake, and dbt. Experience handling unstructured data & modern lakehouse tools. SaaS/product background preferred; familiarity with GDPR/SOC2 a plus. Perks & Benefits: Hybrid work – 1 day/week in office. Flexible hours, generous leave, wellness days. Competitive pay + bonus, medical insurance for you & dependents. Learning days, certifications, global mentorship. Inclusive & diverse workplace.
Job Title
Senior Data Engineer